Data Analytics Certificate

Explore the future of Data Analytics at UMF!

UMF’s Data Analytics Certificate equips students with skills in analysis, visualization, modeling, and computation—open to undergraduates and post-baccalaureate learners.

Designed for flexibility, the fully online program includes core coursework in computer science and statistics, along with hands-on technology modules and a capstone experience that applies learning to real-world data challenges. While courses are asynchronous, some may include occasional live online sessions for interactive learning.

This certificate is ideal for students and professionals looking to build data-driven decision-making skills applicable across industries such as business, healthcare, and technology. Graduates will be well-equipped for data-centric roles or further study in analytics.

Data Analytics Certificate

A data analytics certificate can open doors to a wide range of career paths because nearly every industry now relies on data-driven decision-making.

What Can You Do With A Data Analytics Certificate?

Entry-Level & Mid-Level Careers
  • Data Analyst – Clean, interpret, and visualize data for insights.

  • Business Analyst – Use data to guide business strategies and process improvements.

  • Marketing Analyst – Track campaign performance, audience behavior, and ROI.

  • Operations Analyst – Optimize workflows and supply chains through data.

  • Financial Analyst – Forecast trends, manage budgets, and assess risk using data models.

Industry Applications
  • Healthcare – Analyze patient outcomes, improve efficiency, or support public health research.

  • Finance – Spot fraud, assess investments, or streamline transactions.

  • Retail & E-Commerce – Track consumer trends, pricing strategies, and product performance.

  • Sports & Entertainment – Use performance metrics, audience engagement data, or ticket sales forecasting.

  • Government & Policy – Inform decisions with demographic, economic, and social data.

Skills You’ll Gain
  • Data cleaning & preparation

  • Data visualization (e.g., Tableau, Power BI)

  • Statistical analysis

  • SQL & database querying

  • Python or R for analytics

  • Understanding of predictive modeling and trends

Advancement Opportunities
  • Transition into data science roles with additional training.

  • Combine analytics skills with your existing career to become the “go-to” data expert.

  • Increase earning potential — many analytics-related jobs pay well above average salaries.

Contact Us to Get Started!

Office of Admissions
246 Main Street
Farmington, Maine USA 04938-1994